ValueError in time series data

I Have the following code:

import fxcmpy
import pandas as pd
from pandas import datetime
from pandas import DataFrame as df
import matplotlib
from pandas_datareader import data as web
import matplotlib.pyplot as plt
import datetime
from datetime import date
import numpy as np
TOKEN = "hidden "
con = fxcmpy.fxcmpy(access_token=TOKEN, log_level='error')
print(con.get_instruments())
symbols = con.get_instruments()
ticker = 'JPYBasket'
start = datetime.datetime(2008,1,1)
end = datetime.datetime.today()
today = date.today()
start1 = datetime.datetime(2019,1,1)
data = con.get_candles(ticker, period='D1', start = start, end = end)
data1 = con.get_candles(ticker, period='D1', start = start1, end = end)
data.index = pd.to_datetime(data.index, format ='%Y-%m-%d')
data1.index = pd.to_datetime(data1.index, format ='%Y-%m-%d')

for some reason i am getting the following error:

ValueError: cannot reindex from a duplicate axis

I am not getting the value error if i say use EUR/USD but only when i try 'EMBasket', 'JPYBasket' i get this error!

-- JPYBasket :

data output is :
    bidopen bidclose    bidhigh bidlow  askopen askclose    askhigh asklow  tickqty
date                                    
2019-04-25  9720    9710    9714    9710    9723    9718    9719    9714    2363
2019-04-26  9720    9720    9720    9720    9723    9723    9723    9723    0
2019-04-26  9710    9698    9729    9679    9718    9708    9732    9686    74942
2019-04-29  9698    9679    9701    9661    9708    9683    9708    9664    66167
2019-04-30  9679    9669    9721    9666    9683    9674    9723    9668    72255
... ... ... ... ... ... ... ... ... ...
2019-12-19  9869    9889    9904    9849    9875    9893    9907    9852    75057
2019-12-20  9889    9888    9904    9879    9893    9897    9907    9882    72982
2019-12-23  9888    9896    9911    9880    9897    9901    9914    9883    73520
2019-12-24  9896    9898    9908    9894    9901    9907    9911    9897    64976
2019-12-26  9898    9851    9881    9846    9907    9856    9884    9849    40177
177 rows × 9 columns

and data1 output is:

    bidopen bidclose    bidhigh bidlow  askopen askclose    askhigh asklow  tickqty
date                                    
2019-04-25  9720    9710    9714    9710    9723    9718    9719    9714    2363
2019-04-26  9720    9720    9720    9720    9723    9723    9723    9723    0
2019-04-26  9710    9698    9729    9679    9718    9708    9732    9686    74942
2019-04-29  9698    9679    9701    9661    9708    9683    9708    9664    66167
2019-04-30  9679    9669    9721    9666    9683    9674    9723    9668    72255
... ... ... ... ... ... ... ... ... ...
2019-12-19  9869    9889    9904    9849    9875    9893    9907    9852    75057
2019-12-20  9889    9888    9904    9879    9893    9897    9907    9882    72982
2019-12-23  9888    9896    9911    9880    9897    9901    9914    9883    73520
2019-12-24  9896    9898    9908    9894    9901    9907    9911    9897    64976
2019-12-26  9898    9851    9881    9846    9907    9856    9884    9849    40177
177 rows × 9 columns

from ValueError in time series data